In the article, "Tweety profs offer political smear-meme 'truthiness' ratings" written by Lewis Page, he talks about a Indiana internet project that is using twitter to measure the Internet memes around the world.
First an internet meme is something, can be a video, image etc., that goes viral online, being passed along to by people and has the potential to reach millions of people in very short amounts of time. They are mostly able to be sent through social networking sites and blogs. Like many things on the internet, memes can go viral so fast they are not even checked to be true. This article "Tweety profs offer political smear-meme "truthiness" ratings" by Lewis Page looks at a group of professors from Indiana who designed a project that's mission is to stop spam meme's and rate the truthiness of a meme for people to legitimitize their page ranking. They focus specifically on political internet memes, as the spread of these can have a great influence and impact on voters, before they are even known to be valid. The program uses twitter to check for somethings 'truthyness' by tallying up votes from users who vote it to be 'truthy' or not on suspicious memes.
First an internet meme is something, can be a video, image etc., that goes viral online, being passed along to by people and has the potential to reach millions of people in very short amounts of time. They are mostly able to be sent through social networking sites and blogs. Like many things on the internet, memes can go viral so fast they are not even checked to be true. This article "Tweety profs offer political smear-meme "truthiness" ratings" by Lewis Page looks at a group of professors from Indiana who designed a project that's mission is to stop spam meme's and rate the truthiness of a meme for people to legitimitize their page ranking. They focus specifically on political internet memes, as the spread of these can have a great influence and impact on voters, before they are even known to be valid. The program uses twitter to check for somethings 'truthyness' by tallying up votes from users who vote it to be 'truthy' or not on suspicious memes.